2604003715
  • Open Access
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Underlying Dimensions and Determinants of Technological Drought in Relatively Uplifted Regions of Bangladesh

  • Md Anarul Haque Mondol 1,*,   
  • Humaira Rahman Logna 1,   
  • Sworna Akter 1,   
  • Rubaiyat Ali Mina 2,   
  • Hafizur Rahman 2,3,   
  • Xuan Zhu 4,   
  • David Dunkerley 4

Received: 03 Feb 2026 | Revised: 19 Apr 2026 | Accepted: 20 Apr 2026 | Published: 11 May 2026

Abstract

Drought is well known as a natural, stochastic phenomenon, which is characterised by prolonged periods of insufficient precipitation, which can seriously affect agricultural and hydrological processes. Conventionally defined as a slow-acting threat, drought happens over time and can last long since it is the lack of rainfall compared to long-term averages. Drought has four main categories, including meteorological, agricultural, hydrological, and socio-economic droughts, but the traditional definitions tend to overlook the technological aspects, especially in small-scale agricultural systems. In contrast to socioeconomic drought that arises from not being able to meet the water demand, technological drought occurs from the failure of technology and proper management despite getting normal rainfall. The study explores the characteristics and effects of technological drought in the Madhupur Tract of Bangladesh. The study uses fifty-five statements and variables based on a structured questionnaire survey to understand the perceptions of the farmers about technological drought and the factors behind it. The Principal Component Analysis was conducted to reduce the size of the data and determine latent factors that influence technological drought conditions. The analysis indicated ten major components of important dimensions of technological drought and resilience. PC1 lightens technological options to reduce drought effects, PC2 symbolises socioeconomic factors in resilience, and PC3 puts the emphasis on water management and irrigation. PC4 is concerned with energy provision and technological limitations, whereas PC5 is associated with environmental and policy-based issues. PC6 focuses on the importance of cooperation among farmers and the integration of traditional knowledge, PC7 focuses on the problem of access to technologies, and PC8-PC10 focus on the environmental problems and failures in the technical sphere. The findings underscore the need for policies that promote improved water management, enhanced access to appropriate technologies, and the strengthening of drought resilience in smallholder agricultural systems.

 

References 

  • 1.

    Mckee, T.; Doesken, N.; Kleist, J. The Relationship of Drought Frequency and Duration to Time Scales. 1993; pp. 17–22. Available online: https://www.droughtmanagement.info/literature/AMS_Relationship_Drought_Frequency_Duration_Time_Scales_1993.pdf (accessed on 2 February 2026).

  • 2.

    Heim, R.R. A review of twentieth-century drought indices used in the United States. Bull. Am. Meteorol. Soc. 2002, 83, 1149–1166. https://doi.org/10.1175/1520-0477-83.8.1149.

  • 3.

    Hao, Z.; Hao, F.; Singh, V.P.; et al. A theoretical drought classification method for the multivariate drought index based on distribution properties of standardized drought indices. Adv. Water Resour. 2016, 92, 240–247. https://doi.org/10.1016/j.advwatres.2016.04.010.

  • 4.

    Mondol, M.A.H.; Zhu, X.; Dunkerley, D.; et al. Technological drought: A new category of water scarcity. J. Environ. Manag. 2022, 321, 115917. https://doi.org/10.1016/j.jenvman.2022.115917.

  • 5.

    Kibria, M.G.; Hossain, M.; Abedin, M.A. Drought in Bangladesh: Consequences and adaptive strategies. In Drought Risk Management in South and South-East Asia; Pal, I., Bhatt, M., Eds.; SAGE Publications: Sauzende Oaks, CA, USA, 2020; p. 204. https://doi.org/10.4135/9789353885649.n10.

  • 6.

    Mondol, M.A.H.; Zhu, X.; Dunkerley, D.; et al. Living with technological drought: Experience of smallholding farmers of Bangladesh. Environ. Dev. 2024, 50, 100985. https://doi.org/10.1016/j.envdev.2024.100985.

  • 7.

    Wilhite, D.A.; Glantz, M.H. Understanding the drought phenomenon: The role of definitions. Water Int. 1985, 10, 111–120. https://doi.org/10.1080/02508068508686328.

  • 8.

    Wang, T.; Tu, X.; Singh, V.P.; et al. Socioeconomic drought analysis by standardized water supply and demand index under changing environment. J. Clean. Prod. 2022, 347, 131248. https://doi.org/10.1016/j.jclepro.2022.131248.

  • 9.

    Ssekyanzi, G.; Ahmad, M.J.; Choi, K.-S. Sustainable solutions for mitigating water scarcity in developing countries: A comprehensive review of innovative rainwater storage systems. Water 2024, 16, 2394. https://doi.org/10.3390/w16172394.

  • 10.

    Grafton, R.Q. Responding to the ‘wicked problem’ of water insecurity. Water Resour. Manag. 2017, 31, 3023–3041. https://doi.org/10.1007/s11269-017-1606-9.

  • 11.

    Wilhite, D.A.; Pulwarty, R.S. (Eds.) Drought and Water Crises: Integrating Science, Management, and Policy, 2nd ed.; CRC Press: Boca Raton, FL, USA, 2017. https://doi.org/10.1201/b22009.

  • 12.

    Clemmens, A.J.; Molden, D.J. Water uses and productivity of irrigation systems. Irrig. Sci. 2007, 25, 247–261. https://doi.org/10.1007/s00271-007-0067-y.

  • 13.

    Alauddin, M.; Sharma, B.R. Inter-district rice water productivity differences in Bangladesh: An empirical exploration and implications. Ecol. Econ. 2013, 93, 210–218. https://doi.org/10.1016/j.ecolecon.2013.05.015.

  • 14.

    Alam, J.A.T.M.; Rahman, S.M.; Saadat, A.H.M. Monitoring meteorological and agricultural drought dynamics in Barind region, Bangladesh using Standard Precipitation Index and Markov chain model. Int. J. Geomatics Geosci. 2013, 3, 511.

  • 15.

    Islam, A.R.M.T.; Tasnuva, A.; Sarker, S.C.; et al. Drought in northern Bangladesh: Social, agroecological impact and local perception. Int. J. Ecosyst. 2014, 4, 150–158.

  • 16.

    Banglapedia. Madhupur Tract. Banglapedia: National Encyclopedia of Bangladesh. Asiatic Society of Bangladesh. Available online: https://en.banglapedia.org/index.php/Madhupur_Tract (accessed on 2 February 2026).

  • 17.

    UNDP; FAO. Land resources appraisal of Bangladesh for agricultural development. Report 1988, 2, 212–221. https://www.fao.org/4/s7223e/s7223e.pdf.

  • 18.

    Hassan Jahiruddin, D.M.; Noor, D.S.; Jalal, M.; et al. Fertilizer Recommendation Guide-2012. Bangladesh Agricultural Research Council (BARC). 1 September 2012. Available online: https://www.researchgate.net/publication/282939933_Fertilizer_Recommendation_Guide-2012 (accessed on 2 February 2026).

  • 19.

    Shahid, S.; Khairulmaini, O.S. Climate classification and drought assessment in Bangladesh. Environmentalist 2009, 29, 33–47.

  • 20.

    Rahman, M.; Nishat, A.; Vacik, H. Anthropogenic disturbances and plant diversity of the Madhupur Sal forests (Shorea robusta C.F. Gaertn) of Bangladesh. Int. J. Biodivers. Sci. Manag. 2009, 5, 162–173. https://doi.org/10.1080/17451590903236741.

  • 21.

    Bangladesh Bureau of Statistics (BBS). Population and Housing Census 2011: National Volume 3. 2014. Available online: http://nsds.bbs.gov.bd/storage/files/1/Publications/PHC_Zila_2011/DHAKA%20DIVISION/Zila-Kishoreganj.pdf (accessed on 2 February 2026).

  • 22.

    Carifio, J.; Perla, R. Resolving the 50-year debate around using and misusing Likert scales. Med. Educ. 2008, 42, 1150–1152.

  • 23.

    Norman, G. Likert scales, levels of measurement and the “laws” of statistics. Adv. Health Sci. Educ. 2010, 15, 625–632.

  • 24.

    Abdi, H.; Williams, L.J. Principal component analysis. Wiley Interdiscip. Rev. Comput. Stat. 2010, 2, 433–459.

  • 25.

    Jolliffe, I.T.; Cadima, J. Principal component analysis: A review and recent developments. Philos. Trans. R. Soc. A 2016, 374, 20150202.

  • 26.

    Johnson, D.R.; Creech, J.C. Ordinal measures in multiple indicator models: A simulation study of categorization error. Am. Sociol. Rev. 1983, 48, 398–407.

  • 27.

    Holgado–Tello, F.P.; Chacón–Moscoso, S.; Barbero–García, I.; et al. Polychoric versus Pearson correlations in exploratory and confirmatory factor analysis of ordinal variables. Qual. Quant. 2010, 44, 153–166.

  • 28.

    Rhemtulla, M.; Brosseau-Liard, P.E.; Savalei, V. When can categorical variables be treated as continuous? Psychol. Methods 2012, 17, 354–373.

  • 29.

    Hair, J.F.; Black, W.C.; Babin, B.J.; et al. Multivariate Data Analysis, 8th ed.; Cengage Learning: Boston, MA, USA, 2019.

  • 30.

    Kaiser, H.F. An index of factorial simplicity. Psychometrika 1974, 39, 31–36.

  • 31.

    Bartlett, M.S. A note on the multiplying factors for various chi-squared approximations. J. R. Stat. Soc. Ser. B 1954, 16, 296–298.

  • 32.

    Gocic, M.; Trajkovic, S. Analysis of changes in meteorological variables using Mann–Kendall and Sen’s slope estimator statistical tests in Serbia. Glob. Planet. Chang. 2013, 100, 172–182. https://doi.org/10.1016/j.gloplacha.2012.10.014.

  • 33.

    Jolliffe, I.T. Principal Component Analysis, 2nd ed.; Springer: Berlin/Heidelberg, Germany, 2002.

  • 34.

    Kaiser, H.F. The varimax criterion for analytic rotation in factor analysis. Psychometrika 1958, 23, 187–200.

  • 35.

    Kaiser, H.F. The application of electronic computers to factor analysis. Educ. Psychol. Meas. 1960, 20, 141–151.

  • 36.

    Cattell, R.B. The scree test for the number of factors. Multivar. Behav. Res. 1966, 1, 245–276.

  • 37.

    Horn, J.L. A rationale and test for the number of factors in factor analysis. Psychometrika 1965, 30, 179–185.

  • 38.

    Raziei, T.; Bordi, I.; Pereira, L.S. An application of the standardized precipitation index (SPI) for drought analysis in the west of Iran. Water Resour. Manag. 2009, 23, 239–263. https://doi.org/10.1007/s11269-008-9290-1.

  • 39.

    Ahmed, A.U.; Sampath, R.K. Effects of irrigation-induced technological change in Bangladesh rice production. Am. J. Agric. Econ. 1992, 74, 144–157.

  • 40.

    Deb, P.K. Performance evaluation of selected surface water irrigation schemes of BADC. Master’s Thesis, Department of Water Resources Engineering, Bangladesh University of Engineering and Technology (BUET), Dhaka, Bangladesh, 2011. Available online: http://lib.buet.ac.bd:8080/xmlui/handle/123456789/163 (accessed on 29 April 2026).

  • 41.

    Biazin, B.; Sterk, G.; Temesgen, M.; et al. Rainwater harvesting and management in rainfed agricultural systems in sub-Saharan Africa–a review. Phys. Chem. Earth Parts A/B/C 2012, 47, 139–151.

  • 42.

    Darko, R.O.; Liu, J.; Yuan, S.; et al. Irrigated agriculture for food self-sufficiency in the sub-Saharan African region. Int. J. Agric. Biol. Eng. 2020, 13, 1–12.

  • 43.

    Bonsu, D. Road Transport and Agriculture: A Comparative Study of the Implications of Road Access for Subsistence Agriculture in the Northern Ghana; University of Bergen: Bergen, Norway, 2014.

  • 44.

    Wilhite, D.A.; Buchanan-Smith, M. Drought as Hazard: Understanding the Natural and Social Context. 2005. Available online: https://www.researchgate.net/publication/329026851_Drought_as_hazard_Understanding_the_natural_and_social_context#fullTextFileContent (accessed on 2 February 2026).

  • 45.

    White, D.A. Quantification of agricultural drought for effective drought mitigation and preparedness: Key issues and challenges. In Proceedings of the WMO/UNISDR Expert Group Meeting on Agricultural Drought Indices; Sivakumar, M.V.K., Motha, R.P., Wilhite, D.A.; et al., Eds.; World Meteorological Organization: Murcia, Spain, 2010; pp. 13–22.

  • 46.

    Hou, L.; Huang, J.; Wang, J. Early warning information, farmers’ perceptions of, and adaptations to drought in China. Clim. Chang. 2017, 141, 197–212. https://doi.org/ 10.1007/s10584-017-1900-9.

  • 47.

    Ragab, R.; Prudhomme, C. Climate change and water resources management in arid and semi-arid regions: Prospective and challenges for the 21st century. Biosyst. Eng. 2002, 81, 3–34. https://doi.org/10.1006/bioe.2001.0013.

  • 48.

    AghaKouchak, A.; Farahmand, A.; Melton, F.S.; et al. Remote sensing of drought: Progress, challenges and opportunities. Rev. Geophys. 2015, 53, 1–29. https://doi.org/10.1002/2014RG000456. Received.

  • 49.

    Fluix’a-Sanmartín, J.; Pan, D.; Fischer, L.; et al. Searching for the optimal drought index and timescale combination to detect drought: A case study from the lower Jinsha River basin, China. Hydrol. Earth Syst. Sci. 2018, 22, 889–910. https://doi.org/10.5194/hess-22-889-201.

  • 50.

    Lavlu Mozumdar Rana, M.M.; Farid, K.S.; Saha, S. Impact of Using Modern Agro-Technologies on Farm and Family Livelihood Performance of Bangladeshi Vegetable Farmers. ResearchGate. 2022. Available online: https://www.researchgate.net/publication/359208992_Impact_of_using_modern_agro-technologies_on_farm_and_family_livelihood_performance_of_Bangladeshi_vegetable_farmers (accessed on 2 February 2026).

  • 51.

    Rahman, S.; Hossain, M.M.R.; Payal, M.; et al. Climate change and resilient farming approaches in Bangladesh: A review of potential impacts and adaptation strategies. In Proceedings of the International Congress on Food, Agriculture and Environment Researches in Global World, Medan, Indonesia, 25 July 2024. https://doi.org/10.13140/RG.2.2.33718.72005.

  • 52.

    Sims, R.; Flammini, A.; Puri, M.; et al. Opportunities for Agri-Food Chains to Become Energy-Smart; FAO: Rome, Italy; USAID: Washington, DC, USA, 2015; p. 212. Available online https://openknowledge.fao.org/handle/20.500.14283/i5125e (accessed on 10 May 2026).

  • 53.

    Lobell, D.B.; Schlenker, W.; Costa-Roberts, J. Climate trends and global crop production since 1980. Science 2011, 333, 616–620. https://doi.org/10.1126/science.1204531.

  • 54.

    Chan, N.; Roy, R.; Chaffin, B. Water governance in Bangladesh: An evaluation of institutional and political context. Water 2016, 8, 403. https://doi.org/10.3390/w8090403.

  • 55.

    Shahid, S.; Hazarika, M.K. Groundwater drought in the northwestern districts of Bangladesh. Water Resour. Manag. 2010, 24, 1989–2006. https://doi.org/10.1007/s11269-009-9534-y.

  • 56.

    Luo, J.; Rahman, M.W. Successful Cases of Irrigation Water Management and Technological Advancement in Bangladesh. ResearchGate. 2010. Available online: https://www.researchgate.net/publication/228264513_Successful_Cases_of_Irrigation_Water_Management_and_Technological_Advancement_in_Bangladesh (accessed on 2 February 2026).

  • 57.

    World Bank. Solar-Powered Pumps Reduce Irrigation Costs in Bangladesh. World Bank. 2015. Available online: https://www.worldbank.org/en/results/2015/09/08/solar-powered-pumps-reduce-irrigation-costs-bangladesh (accessed on 2 February 2026).

  • 58.

    Kanti, B. Farmers’ and Public Responses to the 1994–95 Drought in Bangladesh: A Case Study. 1995. Available online: https://digitalcommons.usf.edu/cgi/viewcontent.cgi?article=1078&context=fmhi_pub (accessed on 2 February 2026).

  • 59.

    Adhikary, S.; Das, S.; Saha, G.; et al. Groundwater Drought Assessment for Barind Irrigation Project in Northwestern Bangladesh. 2013. Available online: https://www.mssanz.org.au/modsim2013/L16/adhikary.pdf (accessed on 2 February 2026).

  • 60.

    Das, A.C.; Shahriar, S.A.; Chowdhury, M.A.; et al. Assessment of remote sensing-based indices for drought monitoring in the north-western region of Bangladesh. Heliyon 2023, 9, e13016. https://doi.org/10.1016/j.heliyon.2023.e13016.

  • 61.

    Caffaro, F.; Micheletti Cremasco, M.; Roccato, M.; et al. Drivers of farmers’ intention to adopt technological innovations in Italy: The role of information sources, perceived usefulness, and perceived ease of use. J. Rural. Stud. 2020, 76, 264–271. https://doi.org/10.1016/j.jrurstud.2020.04.028.

  • 62.

    Rahman, S.; Hoque, M.J.; Uddin, M.N. Problems faced by the crop farmers related to extension services provided by the Department of Agricultural Extension in Bangladesh. Int. J. Agric. Ext. 2021, 9, 373–388. https://doi.org/10.33687/ijae.009.03.3606.

  • 63.

    Kreft, C.; Angst, M.; Huber, R.; et al. Farmers’ social networks and regional spillover effects in agricultural climate change mitigation. Clim. Chang. 2023, 176, 8. https://doi.org/10.1007/s10584-023-03484-6.

  • 64.

    Habiba, U.; Shaw, R.; Takeuchi, Y. Drought risk reduction through a socioeconomic, institutional, and physical approach in the northwestern region of Bangladesh. Environ. Hazards 2011, 10, 121–138. https://doi.org/10.1080/17477891.2011.582311.

  • 65.

    Habiba, U.; Shaw, R.; Hassan, A.W.R. Drought risk and reduction approaches in Bangladesh. In Disaster Risk Reduction Approaches in Bangladesh; Shaw, R., Mallick, F., Islam, A., Eds.; Springer Japan: Tokyo, Japan, 2013; pp. 131–164 https://doi.org/10.1007/978-4-431-54252-0_7.

  • 66.

    Habiba, U.; Hassan, A.W.R.; Shaw, R. Livelihood adaptation in the drought-prone areas of Bangladesh. In Climate Change Adaptation Actions in Bangladesh; Shaw, R., Mallick, F., Islam, A., Eds.; Springer Japan: Tokyo, Japan, 2013; pp. 227–252. https://doi.org/10.1007/978-4-431-54249-0_13.

  • 67.

    De Graaff, L.; Wens, M.L.K.; Hoogesteger, J.; et al. Threat appraisal and individual adaptation as drivers for collaborative drought management in the Netherlands. Agric. Water Manag. 2025, 309, 109341. https://doi.org/10.1016/j.agwat.2025.109341.

  • 68.

    Ahmed, Z.; Alam, R.; Ahmed, S.; et al. Does anthropogenic upstream water withdrawal impact downstream land use and livelihood changes of the Teesta transboundary river basin in Bangladesh? Environ. Monit. Assess. 2022, 194, 59. https://doi.org/10.1007/s10661-021-09726-3.

  • 69.

    Arfanuzzaman, M. Transboundary water cooperation and joint river basin management are pivotal for climate resilient development in South Asia. World Dev. Perspect. 2025, 38, 100681. https://doi.org/10.1016/j.wdp.2025.100681.

  • 70.

    Mou, M.A.; Naim, J.; Paul, S.K. Coping with agricultural drought and its future prospects in the north-western region of Bangladesh. J. Life Earth Sci. 2021, 16, 21–32.

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Haque Mondol, M. A.; Logna, H. R.; Akter, S.; Ali Mina, R.; Rahman, H.; Zhu, X.; Dunkerley, D. Underlying Dimensions and Determinants of Technological Drought in Relatively Uplifted Regions of Bangladesh. Water Scarcity and Drought 2026, 1 (1), 5.
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